| Best model | name | model_type | metric_type | metric_value | train_time |
|---|---|---|---|---|---|
| 1_Optuna_LightGBM | LightGBM | logloss | 0.267532 | 19.48 | |
| 2_Optuna_Xgboost | Xgboost | logloss | 0.271852 | 17.06 | |
| 3_Optuna_RandomForest | Random Forest | logloss | 0.273661 | 17.25 | |
| the best | Ensemble | Ensemble | logloss | 0.264678 | 0.91 |
| Model | Weight |
|---|---|
| 1_Optuna_LightGBM | 1 |
| 2_Optuna_Xgboost | 1 |
| 3_Optuna_RandomForest | 1 |
| score | threshold | |
|---|---|---|
| logloss | 0.264678 | nan |
| auc | 0.954611 | nan |
| f1 | 0.888056 | 0.45137 |
| accuracy | 0.8955 | 0.45137 |
| precision | 1 | 0.980023 |
| recall | 1 | 0.00364726 |
| mcc | 0.790857 | 0.495641 |
| score | threshold | |
|---|---|---|
| logloss | 0.264678 | nan |
| auc | 0.954611 | nan |
| f1 | 0.888056 | 0.45137 |
| accuracy | 0.8955 | 0.45137 |
| precision | 0.902067 | 0.45137 |
| recall | 0.874473 | 0.45137 |
| mcc | 0.790451 | 0.45137 |
| Predicted as Çerçevelik | Predicted as Ürgüp Sivrisi | |
|---|---|---|
| Labeled as Çerçevelik | 962 | 90 |
| Labeled as Ürgüp Sivrisi | 119 | 829 |
logloss
16.7 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.273661 | nan |
| auc | 0.95145 | nan |
| f1 | 0.885003 | 0.445593 |
| accuracy | 0.8925 | 0.476828 |
| precision | 1 | 0.998986 |
| recall | 1 | 0 |
| mcc | 0.785535 | 0.541451 |
| score | threshold | |
|---|---|---|
| logloss | 0.273661 | nan |
| auc | 0.95145 | nan |
| f1 | 0.884842 | 0.476828 |
| accuracy | 0.8925 | 0.476828 |
| precision | 0.898803 | 0.476828 |
| recall | 0.871308 | 0.476828 |
| mcc | 0.784423 | 0.476828 |
| Predicted as Çerçevelik | Predicted as Ürgüp Sivrisi | |
|---|---|---|
| Labeled as Çerçevelik | 959 | 93 |
| Labeled as Ürgüp Sivrisi | 122 | 826 |
logloss
18.8 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.267532 | nan |
| auc | 0.953404 | nan |
| f1 | 0.885605 | 0.543914 |
| accuracy | 0.8955 | 0.543914 |
| precision | 1 | 0.982488 |
| recall | 1 | 0.00240858 |
| mcc | 0.791587 | 0.543914 |
| score | threshold | |
|---|---|---|
| logloss | 0.267532 | nan |
| auc | 0.953404 | nan |
| f1 | 0.885605 | 0.543914 |
| accuracy | 0.8955 | 0.543914 |
| precision | 0.920364 | 0.543914 |
| recall | 0.853376 | 0.543914 |
| mcc | 0.791587 | 0.543914 |
| Predicted as Çerçevelik | Predicted as Ürgüp Sivrisi | |
|---|---|---|
| Labeled as Çerçevelik | 982 | 70 |
| Labeled as Ürgüp Sivrisi | 139 | 809 |
logloss
16.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.271852 | nan |
| auc | 0.952193 | nan |
| f1 | 0.884842 | 0.442869 |
| accuracy | 0.8925 | 0.442869 |
| precision | 1 | 0.991096 |
| recall | 1 | 0.00262342 |
| mcc | 0.784423 | 0.442869 |
| score | threshold | |
|---|---|---|
| logloss | 0.271852 | nan |
| auc | 0.952193 | nan |
| f1 | 0.884842 | 0.442869 |
| accuracy | 0.8925 | 0.442869 |
| precision | 0.898803 | 0.442869 |
| recall | 0.871308 | 0.442869 |
| mcc | 0.784423 | 0.442869 |
| Predicted as Çerçevelik | Predicted as Ürgüp Sivrisi | |
|---|---|---|
| Labeled as Çerçevelik | 959 | 93 |
| Labeled as Ürgüp Sivrisi | 122 | 826 |